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Volumn 60, Issue 4, 2013, Pages 1134-1141

Segmentation of dermoscopy images using wavelet networks

Author keywords

Dermoscopy; image segmentation; melanoma diagnosis; orthogonal least squares (OLS); wavelet network (WN)

Indexed keywords

DERMOSCOPIC IMAGES; DERMOSCOPY; NETWORK STRUCTURES; ORTHOGONAL LEAST SQUARES; ORTHOGONAL LEAST SQUARES ALGORITHM; SEGMENTATION ALGORITHMS; SEGMENTATION RESULTS; WAVELET NETWORK;

EID: 84875503457     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2227478     Document Type: Article
Times cited : (81)

References (45)
  • 1
    • 80051671202 scopus 로고    scopus 로고
    • Melanomas non-invasive diagnosis application based on the ABCD rule and pattern recognition image processing algorithms
    • Sep.
    • A. G. Isasi, B. G. Zapirain, and A. M. Zorrilla, "Melanomas non-invasive diagnosis application based on the ABCD rule and pattern recognition image processing algorithms," J. Comput. Biol. Med., vol. 41, no. 9, pp. 742-755, Sep. 2011.
    • (2011) J. Comput. Biol. Med , vol.41 , Issue.9 , pp. 742-755
    • Isasi, A.G.1    Zapirain, B.G.2    Zorrilla, A.M.3
  • 5
    • 0032587461 scopus 로고    scopus 로고
    • Segmentation of digitized dermatoscopic images by twodimensional color clustering
    • Feb
    • P. Schmid, "Segmentation of digitized dermatoscopic images by twodimensional color clustering," IEEE Trans. Med. Imag., vol. 18, no. 2, pp. 164-171, Feb. 1999.
    • (1999) IEEE Trans. Med. Imag , vol.18 , Issue.2 , pp. 164-171
    • Schmid, P.1
  • 7
    • 14844303908 scopus 로고    scopus 로고
    • Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes
    • DOI 10.1111/j.1600-0846.2005.00092.x
    • B. Erkol, R. H.Moss, R. J. Stanley,W. V. Stoecker, and E. Hva-tum, "Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes," Skin Res. Technol., vol. 11, no. 1, pp. 17-26, Feb. 2005. (Pubitemid 40347604)
    • (2005) Skin Research and Technology , vol.11 , Issue.1 , pp. 17-26
    • Erkol, B.1    Moss, R.H.2    Stanley, R.J.3    Stoecker, W.V.4    Hvatum, E.5
  • 8
    • 79951512626 scopus 로고    scopus 로고
    • Gradient vector flow with mean shift for skin lesion segmentation
    • Mar.
    • H. Zhou, G. Schaefer, M. E. Celebi, F. Lin, and T. Liu, "Gradient vector flow with mean shift for skin lesion segmentation," Comput. Med. Imag. Graph., vol. 35, no. 2, pp. 121-127, Mar. 2011.
    • (2011) Comput. Med. Imag. Graph , vol.35 , Issue.2 , pp. 121-127
    • Zhou, H.1    Schaefer, G.2    Celebi, M.E.3    Lin, F.4    Liu, T.5
  • 9
    • 33745894963 scopus 로고    scopus 로고
    • Quantitative assessment of tumour extraction from dermoscopy images and evaluation of computer-based extraction methods for an automatic melanoma diagnostic system
    • DOI 10.1097/01.cmr.0000215041.76553.58, PII 0000839020060400000011
    • H. Iyatomi, H. Oka, M. Saito, A. Miyake, M. Kimoto, J. Yamagami, S. Kobayashi, A. Tanikawa, M. Hagiwara, K. Ogawa, G. Argenziano, H. P. Soyer, andM. Tanaka, "Quantitative assessment of tumour extraction from dermoscopy images and evaluation of computer-based extraction methods for an automatic melanoma diagnostic system," Melanoma Res., vol. 16, no. 2, pp. 183-190, 2006. (Pubitemid 44090050)
    • (2006) Melanoma Research , vol.16 , Issue.2 , pp. 183-190
    • Iyatomi, H.1    Oka, H.2    Saito, M.3    Miyake, A.4    Kimoto, M.5    Yamagami, J.6    Kobayashi, S.7    Tanikawa, A.8    Hagiwara, M.9    Ogawa, K.10    Argenziano, G.11    Peter Soyer, H.12    Tanaka, M.13
  • 14
    • 49949112001 scopus 로고    scopus 로고
    • An improved internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm
    • Oct
    • H. Iyatomi, H. Oka, M. E. Celebi, M. Hashimoto, M. Hagiwara, M. Tanaka, and K. Ogawa, "An improved internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm," Comput. Med. Imag. Graph., vol. 32, no. 7, pp. 566-579, Oct. 2008.
    • (2008) Comput. Med. Imag. Graph , vol.32 , Issue.7 , pp. 566-579
    • Iyatomi, H.1    Oka, H.2    Celebi, M.E.3    Hashimoto, M.4    Hagiwara, M.5    Tanaka, M.6    Ogawa, K.7
  • 15
    • 68849098796 scopus 로고    scopus 로고
    • Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic
    • Aug
    • M. E. Yuksel and M. Borlu, "Accurate segmentation of dermoscopic images by image thresholding based on type-2 fuzzy logic," IEEE Trans. Fuzzy Syst., vol. 17, no. 4, pp. 976-982, Aug. 2009.
    • (2009) IEEE Trans. Fuzzy Syst , vol.17 , Issue.4 , pp. 976-982
    • Yuksel, M.E.1    Borlu, M.2
  • 19
    • 79951509121 scopus 로고    scopus 로고
    • Border detection in dermoscopy images using hybrid thresholding on optimized color channels
    • Mar.
    • R. Garnavi, M. Aldeen, M. E. Celebi, G. Varigos, and S. Finch, "Border detection in dermoscopy images using hybrid thresholding on optimized color channels," Comput. Med. Imag. Grap., vol. 35, no. 2, pp. 105-115, Mar. 2011.
    • (2011) Comput. Med. Imag. Grap , vol.35 , Issue.2 , pp. 105-115
    • Garnavi, R.1    Aldeen, M.2    Celebi, M.E.3    Varigos, G.4    Finch, S.5
  • 21
    • 70350754235 scopus 로고    scopus 로고
    • An improved objective evaluation measure for border detection in dermoscopy images
    • Nov
    • M. E. Celebi, G. Schaefer, H. Iyatomi, W. V. Stoecker, J. M. Malters, and J. M. Grichnik, "An improved objective evaluation measure for border detection in dermoscopy images," Skin Res. Technol., vol. 15, no. 4, pp. 444-450, Nov. 2009.
    • (2009) Skin Res. Technol , vol.15 , Issue.4 , pp. 444-450
    • Celebi, M.E.1    Schaefer, G.2    Iyatomi, H.3    Stoecker, W.V.4    Malters, J.M.5    Grichnik, J.M.6
  • 22
  • 23
    • 84891495315 scopus 로고    scopus 로고
    • Techniques and comparative analysis of neural network systems and fuzzy systems in medical image segmentation
    • K.-S. Cheng, J.-S. Lin, and C.-W. Mao, "Techniques and comparative analysis of neural network systems and fuzzy systems in medical image segmentation," Fuzzy Theor. Syst. Tech. Appl., vol. 3, pp. 973-1008, 1999.
    • (1999) Fuzzy Theor. Syst. Tech. Appl , vol.3 , pp. 973-1008
    • Cheng, K.-S.1    Lin, J.-S.2    Mao, C.-W.3
  • 24
    • 77957910572 scopus 로고    scopus 로고
    • Medical image analysis with artificial neural networks
    • Dec.
    • J. Jiang, P. Trundle, and J. Ren, "Medical image analysis with artificial neural networks," Comput.Med. Imag. Graph., vol. 34, no. 8, pp. 617-631, Dec. 2010.
    • (2010) Comput.Med. Imag. Graph , vol.34 , Issue.8 , pp. 617-631
    • Jiang, J.1    Trundle, P.2    Ren, J.3
  • 25
    • 50249107931 scopus 로고    scopus 로고
    • Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra
    • Aug
    • R. M. Balabin,R. Z. Safieva, and E. I. Lomakina,"Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra," J. Chemometr. Intell. Lab. Syst., vol. 93, no. 1, pp. 58-62, Aug. 2008.
    • (2008) J. Chemometr. Intell. Lab. Syst , vol.93 , Issue.1 , pp. 58-62
    • Balabin, R.M.1    Safieva, R.Z.2    Lomakina, E.I.3
  • 27
    • 0027151141 scopus 로고
    • Analysis and synthesis of feedforward neural networks using discrete affinewavelet transformations
    • Jan
    • Y. C. Pati and P. S. Krishnaprasad, "Analysis and synthesis of feedforward neural networks using discrete affinewavelet transformations," IEEE Trans. Neur. Netw., vol. 4, no. 1, pp. 73-85, Jan. 1992.
    • (1992) IEEE Trans. Neur. Netw , vol.4 , Issue.1 , pp. 73-85
    • Pati, Y.C.1    Krishnaprasad, P.S.2
  • 28
    • 0001379053 scopus 로고
    • Neural network adaptive wavelets for signal representation and classification
    • Sep
    • H. H. Szu, B. A. Telfer, and S. L. Kadambe, "Neural network adaptive wavelets for signal representation and classification," Opt. Eng., vol. 31, no. 9, pp. 1907-1916, Sep. 1992.
    • (1992) Opt. Eng , vol.31 , Issue.9 , pp. 1907-1916
    • Szu, H.H.1    Telfer, B.A.2    Kadambe, S.L.3
  • 29
    • 13844256694 scopus 로고    scopus 로고
    • Gabor wavelet associative memory for face recognition
    • DOI 10.1109/TNN.2004.841811
    • H. Zhang, B. Zhang, W. Huang, and Q. Tian, "Gabor wavelet associative memory for face recognition," IEEE Trans. Neural Netw., vol. 16, no. 1, pp. 275-278, Jan. 2005. (Pubitemid 40241926)
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.1 , pp. 275-278
    • Zhang, H.1    Zhang, B.2    Huang, W.3    Tian, Q.4
  • 30
    • 70350018122 scopus 로고    scopus 로고
    • A wavelet neural network for SAR image segmentation
    • Sep
    • X.-B. Wen, H. Zhang, and F.-Y. Wang, "A wavelet neural network for SAR image segmentation," J. Sens., vol. 9, no. 9, pp. 7509-7515, Sep. 2009.
    • (2009) J. Sens , vol.9 , Issue.9 , pp. 7509-7515
    • Wen, X.-B.1    Zhang, H.2    Wang, F.-Y.3
  • 31
    • 70449732176 scopus 로고    scopus 로고
    • A novel biorthogonal wavelet network system for off-angle iris recognition
    • Mar.
    • A. Abhyankar and S. A. C. Schuckers, "A novel biorthogonal wavelet network system for off-angle iris recognition," J. Pattern Recognit., vol. 43, no. 3, pp. 987-1007, Mar. 2010.
    • (2010) J. Pattern Recognit , vol.43 , Issue.3 , pp. 987-1007
    • Abhyankar, A.1    Schuckers, S.A.C.2
  • 32
    • 79551608452 scopus 로고    scopus 로고
    • Pyramidal hybrid approach: Wavelet network with OLS algorithm-based image classification
    • Mar.
    • O. Jemai, M. Zaied, C. B. Amar, and M. A. Alimi, "Pyramidal hybrid approach: Wavelet network with OLS algorithm-based image classification," Int. J. Wavel. Multir. Inf. Process., vol. 9, no. 1, pp. 111-130, Mar. 2011.
    • (2011) Int. J. Wavel. Multir. Inf. Process , vol.9 , Issue.1 , pp. 111-130
    • Jemai, O.1    Zaied, M.2    Amar, C.B.3    Alimi, M.A.4
  • 34
    • 23044434528 scopus 로고    scopus 로고
    • A new class of wavelet networks for nonlinear system identification
    • DOI 10.1109/TNN.2005.849842
    • S. A. Billings and H. L. Wei, "A new class of wavelet networks for nonlinear system identification," IEEE Trans. Neural Netw., vol. 16, no. 4, pp. 862-874, Jul. 2005. (Pubitemid 41064318)
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.4 , pp. 862-874
    • Billings, S.A.1    Wei, H.-L.2
  • 36
    • 0031098254 scopus 로고    scopus 로고
    • Using wavelet network in nonparametric estimation
    • Mar
    • Q. H. Zhang, "Using wavelet network in nonparametric estimation," IEEE Trans. Neural Netw., vol. 8, no. 2, pp. 227-236, Mar. 1997.
    • (1997) IEEE Trans. Neural Netw , vol.8 , Issue.2 , pp. 227-236
    • Zhang, Q.H.1
  • 37
    • 84875503250 scopus 로고    scopus 로고
    • Fuzzy wavelet neural network with an accelerated hybrid learning algorithm
    • Jun
    • M. Davanipoor, M. Zekri, and F. Sheikholeslam, "Fuzzy wavelet neural network with an accelerated hybrid learning algorithm," IEEE Trans. Fuzzy Syst., vol. 20, no. 3, pp. 463-470, Jun. 2012.
    • (2012) IEEE Trans. Fuzzy Syst , vol.20 , Issue.3 , pp. 463-470
    • Davanipoor, M.1    Zekri, M.2    Sheikholeslam, F.3
  • 38
    • 84891490741 scopus 로고    scopus 로고
    • Unsupervised perceptual segmentation of natural color images using fuzzy-based hierarchical algorithm
    • J. Maeda, A. Kawano, S. Saga, and Y. Suzuki, "Unsupervised perceptual segmentation of natural color images using fuzzy-based hierarchical algorithm," in Proc. 15th Scandinavian Conf. Image Analysis, 2007, pp. 642-671.
    • (2007) Proc. 15th Scandinavian Conf. Image Analysis , pp. 642-671
    • Maeda, J.1    Kawano, A.2    Saga, S.3    Suzuki, Y.4
  • 39
    • 0034284052 scopus 로고    scopus 로고
    • Initialization by selection for wavelet network training
    • DOI 10.1016/S0925-2312(00)00295-2, PII S0925231200002952
    • Y. Oussar and G. Dreyfus, "Initialization by selection for wavelet network training," Neurocomputing, vol. 34, no. 1, pp. 131-143, Sep. 2000. (Pubitemid 30657706)
    • (2000) Neurocomputing , vol.34 , pp. 131-143
    • Oussar, Y.1    Dreyfus, G.2
  • 40
    • 0031625469 scopus 로고    scopus 로고
    • Parameterized normalization: Application to wavelet networks
    • May
    • R. Baron and B. Girau, "Parameterized normalization: Application to wavelet networks," in Proc. IEEE Int. Conf. Neural Netw., May 1998, vol. 2, pp. 1433-1437.
    • (1998) Proc IEEE Int. Conf. Neural Netw. , vol.2 , pp. 1433-1437
    • Baron, R.1    Girau, B.2
  • 41
    • 0031283150 scopus 로고    scopus 로고
    • Dullrazor®: A software approach to hair removal from images
    • DOI 10.1016/S0010-4825(97)00020-6, PII S0010482597000206
    • T. Lee, V. Ng, R. Gallagher, A. Coldman, and D. McLean, "DullRazor: A software approach to hair removal from images," Comput. Biol. Med. Biol., vol. 27, no. 6, pp. 533-543, Nov. 1997. (Pubitemid 28007991)
    • (1997) Computers in Biology and Medicine , vol.27 , Issue.6 , pp. 533-543
    • Lee, T.1    Ng, V.2    Gallagher, R.3    Coldman, A.4    McLean, D.5
  • 42
    • 84985925765 scopus 로고    scopus 로고
    • Impulse noise cancellation of medical images using wavelet networks and median filters
    • Jan.
    • A. R. Sadri, M. Zekri, S. Sadri, and N. Gheissari, "Impulse noise cancellation of medical images using wavelet networks and median filters," J. Med. Signal. Sens., vol. 1, no. 2, pp. 25-37, Jan. 2012.
    • (2012) J. Med. Signal. Sens , vol.1 , Issue.2 , pp. 25-37
    • Sadri, A.R.1    Zekri, M.2    Sadri, S.3    Gheissari, N.4
  • 43
    • 6344254597 scopus 로고    scopus 로고
    • Amethod formodeling noise in medical images
    • Oct
    • P. Gravel, G. Beaudoin, and J. A. De Guise, "Amethod formodeling noise in medical images," IEEE Trans. Med. Imag., vol. 23, no. 10, pp. 1221-1232, Oct. 2004.
    • (2004) IEEE Trans. Med. Imag , vol.23 , Issue.10 , pp. 1221-1232
    • Gravel, P.1    Beaudoin, G.2    De Guise, J.A.3
  • 44
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • PII S105771499801745X
    • C. Xu and J. Prince, "Snake, shape, and gradient vector flow," IEEE Trans. Imag. Process., vol. 7, no. 3, pp. 359-369, Mar. 1998. (Pubitemid 128745354)
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.3 , pp. 359-369
    • Xu, C.1    Prince, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.